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Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study
Jie-Feng Huang1, Ze-Yu Zhao1, Wen-Kui Lu2
1State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, China.
Objective:
Mumps is a seasonal infectious disease, always occurring in winter and spring. In this study, we aim to analyze its epidemiological characteristics, transmissibility, and its correlation with meteorological variables.
Method:
A seasonal Susceptible-Exposed-Infectious/Asymptomatic-Recovered model and a next-generation matrix method were applied to estimate the time-dependent reproduction number (R ).
Results:
The seasonal double peak of annual incidence was mainly in May to July and November to December. There was high transmission at the median of R = 1.091 (ranged: 0 to 4.393). R was seasonally distributed mainly from February to April and from September to November. Correlations were found between temperature (Pearson correlation coefficient [r] ranged: from 0.101 to 0.115), average relative humidity (r = 0.070), average local pressure (r = -0.066), and the number of new cases. In addition, average local pressure (r = 0.188), average wind speed (r = 0.111), air temperature (r ranged: -0.128 to -0.150), average relative humidity (r = -0.203) and sunshine duration (r = -0.075) were all correlated with R .
Conclusion:
A relatively high level of transmissibility has been found in Xiamen City, leading to a continuous epidemic of mumps. Meteorological factors, especially air temperature and relative humidity, may be more closely associated with mumps than other factors.
Insights
Mumps outbreaks show seasonal peaks, with transmissibility influenced by meteorological factors like temperature and humidity. Understanding these patterns is key to controlling mumps epidemics.
Area of Science:
- Epidemiology
- Infectious Disease Dynamics
- Environmental Health
Background:
- Mumps is a seasonal infectious disease often occurring in winter and spring.
- Understanding mumps epidemiology and transmission is crucial for public health interventions.
Purpose of the Study:
- To analyze the epidemiological characteristics of mumps.
- To assess mumps transmissibility and its correlation with meteorological variables.
Main Methods:
- A seasonal Susceptible-Exposed-Infectious/Asymptomatic-Recovered (SEIR) model was employed.
- The next-generation matrix method was used to estimate the time-dependent reproduction number (R0).
Main Results:
- Mumps incidence exhibited seasonal double peaks, primarily in May-July and November-December.
- The median reproduction number (R0) was 1.091, indicating high transmission. R0 showed seasonal distribution from February-April and September-November.
- Correlations were observed between new mumps cases and temperature, relative humidity, and local pressure. Meteorological factors including local pressure, wind speed, air temperature, relative humidity, and sunshine duration were correlated with R0.
Conclusions:
- Xiamen City experiences high mumps transmissibility, contributing to continuous epidemics.
- Meteorological factors, particularly air temperature and relative humidity, appear closely associated with mumps transmission dynamics.
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